Fix match:

FixMatch is an algorithm that first generates pseudo-labels using the model’s predictions on weakly-augmented unlabeled images. For a given image, the pseudo-label is only retained if the model produces a high-confidence prediction. The model is then trained to predict the pseudo-label when fed a strongly-augmented version of the same image.

Resource:

• original FixMatch paper?

• PyTorch implementation of FixMatch?

• implementation using TensorFlow?

• FixMatch paper and implementation?

• PyTorch Lightning implementation of FixMatch?

• FixMatch using TensorFlow?